164 citations · 288 across the 13 of their papers we have counts for
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cs.HC2022★ 72 cited
CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation
Mark Diaz, Ian D. Kivlichan, Rachel Rosen +4
Human annotated data plays a crucial role in machine learning (ML) research and development. However, the ethical considerations around the processes and decisions that go into dat…
cs.HC2022★ 5 cited
Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation
Nitesh Goyal, Ian Kivlichan, Rachel Rosen +1
Machine learning models are commonly used to detect toxicity in online conversations. These models are trained on datasets annotated by human raters. We explore how raters' self-de…